Noisy label detection on MNIST 2
0.837AUCCS-SHAPLEY
Evaluation Results
| Method | Links | |
|---|---|---|
| CS-SHAPLEYClassifier=SVM-RBF2022.11 | 0.837 | |
| CS-SHAPLEYClassifier=Logistic Regression2022.11 | 0.831 | |
| TMC-ShapleyClassifier=Logistic Regression2022.11 | 0.815 | |
| Beta ShapleyClassifier=Logistic Regression2022.11 | 0.806 | |
| TMC-ShapleyClassifier=SVM-RBF2022.11 | 0.663 | |
| Beta ShapleyClassifier=SVM-RBF2022.11 | 0.611 | |
| Leave-One-OutClassifier=SVM-RBF2022.11 | 0.3 | |
| Leave-One-OutClassifier=Logistic Regression2022.11 | 0.28 |